Related Experiment Video
Updated: Feb 28, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
2.7K
Comparative effectiveness research: what to do when experts disagree about risks
Reidar K Lie1, Francis K L Chan2, Christine Grady3
1Department of Philosophy, University of Bergen, Sydnesplassen 12, 5020, Bergen, Norway. Reidar.lie@uib.no.
BMC Medical Ethics
|June 21, 2017
Summary
Ethics Review Committees (ERCs) should evaluate comparative effectiveness research by assessing expert disagreement, not just when evidence is unknown. This ensures accurate risk assessment for clinical trials.
Area of Science:
- Medical Ethics
- Clinical Research Oversight
- Health Services Research
Background:
- Comparative effectiveness research (CER) compares existing medical standards of care.
- Ethical considerations in CER are increasingly important.
- Ethics Review Committees (ERCs) face challenges in evaluating CER risks.
Purpose of the Study:
- To reframe the ethical evaluation of CER beyond the "nothing is known" criterion.
- To provide guidance for ERCs on assessing risks in CER, particularly when expert opinions diverge.
- To highlight the importance of expert disagreement in risk assessment for clinical trials.
Main Methods:
- Discussion of the prominent debate focus in CER justification.
- Analysis of the shift from "nothing is known" to expert disagreement.
- Introduction of a case study to illustrate expert disagreement in CER.
- Framework development for ERC evaluation of expert opinions.
Main Results:
- The "nothing is known" criterion is potentially misleading for CER evaluation.
- Expert disagreement is a critical factor in determining the ethical acceptability of CER.
- ERCs must assess the basis and strength of evidence underlying expert opinions.
Conclusions:
- ERCs have a duty to evaluate the spectrum of expert opinions to judge study risks.
- Assessing expert disagreement is crucial for assigning appropriate risk levels to clinical trials.
- Clinical trial monitoring can mitigate potential risks associated with participant enrollment.
Related Concept Videos
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
503
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
503
Hazard Ratio
661
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
661
Comparing the Survival Analysis of Two or More Groups
674
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
674
Odds Ratio
2.0K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.0K
Relative Risk
2.3K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.3K
Framing Effects
8.0K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
8.0K

